This Project Grant award of $300,000 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports a collaborative research project between the University of Arizona and the University of Illinois Urbana-Champaign. The project aims to develop new distributionally robust quadratic optimization models and methodologies to better integrate renewable energy sources into power systems, providing cleaner, more reliable, and cost-effective energy solutions. Key objectives...
This three-year, $110,155 project grant from the National Science Foundation's Division of Mathematical Sciences aims to develop new mathematical methods, computer models, and algorithms for electric grid operational planning under the Mathematical and Physical Sciences program (CFDA 47.049). Specifically, the University of Chicago researchers will contribute a general methodology, including novel mathematical models, theory, and algorithms, to systematically account for non-Gaussian error...
This National Science Foundation (NSF) Engineering Research Initiation (ERI) Project Grant, with the official CFDA number 47.041, was awarded to the Board of Trustees of Illinois State University Research and Sponsored Programs Division for $197,516 on June 1, 2024. The award will fund research to develop innovative algorithms enabling multiple agents to communicate and collaborate effectively in solving complex network optimization problems, with a focus on optimizing the nation's evolving...
The University of Illinois was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems. The grant falls under the Engineering program (CFDA 47.041) and will fund the CAREER project "Risk-Sensitive Market Design for Power Systems: Scalable Learning and Pricing" from February 2021 through January 2026. The project aims to develop scalable algorithms for learning and pricing in power systems to account for risk factors...
This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to develop a new reduced-order dynamic modeling paradigm for accurately representing the impacts of massive distributed energy resource (DER) integration in carbon-neutral power systems. The project, awarded to Arizona State University, will leverage tools in dynamic systems, nonlinear system identification, and machine learning to create physics-based and machine...
This $225,000 National Science Foundation (NSF) Project Grant award under the CFDA 47.041 Engineering program aims to develop a physics-informed, real-time optimal power flow model using machine learning techniques. The project seeks to address gaps in providing close to optimal solutions for power plant outputs while considering practical dynamical constraints to avoid frequency fluctuations and grid instabilities. The key scientific and engineering contributions include: (1) advancements in...
This three-year, $283,995 Project Grant from the National Science Foundation's Division of Mathematical Sciences will support the development of robust methods for grid operational planning that account for non-Gaussian uncertainties in renewable energy forecasts. Funded under the Mathematical and Physical Sciences program (CFDA 47.049), the grantee—Northwestern University—will work with its sub-awardee to create new mathematical models, theory, algorithms, and computer implementations to...
This three-year, $290,000 National Science Foundation project grant supports research at The Pennsylvania State University to develop new mathematical methods, computer models, and algorithms for electric grid operational planning under non-Gaussian uncertainties in renewable energy forecasts. Funded through NSF's Mathematical and Physical Sciences program (CFDA 47.049), the research directly addresses challenges in integrating intermittent renewable resources like wind and solar power into...
The University of Illinois was awarded a $500,000 Project Grant from the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering (47.041) federal grant program. The five-year award will support research titled "CAREER: STRUCTURE-EXPLOITING OPTIMIZATION FOR POWER SYSTEMS AND APPLICATIONS TO LARGE-SCALE NETWORKS" from February 2021 through January 2026. The research focuses on developing optimization techniques to improve the...
The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Engineering program (CFDA 47.041) to the University of Vermont & State Agricultural College (UVM) to develop a generalized distributed framework for solving large-scale power grid problems. The project aims to advance the state-of-the-art in nonlinear programming, physics-inspired graph-partitioning, and combinatorial optimization to enable fast and robust simulations and optimizations of the future power...